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孙麇, 方立群, 张文义, 杨红, 李亚品, 周洁萍, 龚建华, 曹务春. 肾综合征出血热防治决策应用系统构建[J]. 中国公共卫生, 2012, 28(1): 1-4. DOI: 10.11847/zgggws2012-28-01-01
引用本文: 孙麇, 方立群, 张文义, 杨红, 李亚品, 周洁萍, 龚建华, 曹务春. 肾综合征出血热防治决策应用系统构建[J]. 中国公共卫生, 2012, 28(1): 1-4. DOI: 10.11847/zgggws2012-28-01-01
SUN Jun, FANG Li-qun, ZHANG Wen-yi, . Building of a decision-making system for prevention and treatment of hemorrhagic fever with renal syndrome[J]. Chinese Journal of Public Health, 2012, 28(1): 1-4. DOI: 10.11847/zgggws2012-28-01-01
Citation: SUN Jun, FANG Li-qun, ZHANG Wen-yi, . Building of a decision-making system for prevention and treatment of hemorrhagic fever with renal syndrome[J]. Chinese Journal of Public Health, 2012, 28(1): 1-4. DOI: 10.11847/zgggws2012-28-01-01

肾综合征出血热防治决策应用系统构建

Building of a decision-making system for prevention and treatment of hemorrhagic fever with renal syndrome

  • 摘要: 目的利用空间信息技术和信息可视化技术建立肾综合征出血热(hemorrhagic fever with renal syndrome,HFRS)防治决策应用系统。方法在Windows XP系统环境下,采用ArcGIS Engine 9.2组件,在Visual Basic 6.0环境中完成组件式开发,并利用ActiveX Data Object(ADO)连接其他属性数据库,将地理数据库和属性数据库、知识数据库等有机集成,完成以GIS系统为核心的信息可视化系统,将HFRS相关信息转化为知识提供给决策者。结果建立一个综合集成HFRS监测数据、传播媒介及动物宿主数据、相关地理环境等数据的防治决策应用系统,为HFRS现场流行病学调查、数据管理与分析、鉴别诊断、媒介与动物宿主识别、地图制作等提供工具,并提供数据导出功能,可使多个部门与机构进行数据共享。结论将地理空间数据与流行病学多元数据结合、将传统GIS与多元信息可视化技术结合,才能让空间信息技术在疾病预防控制方面发挥决策支持的作用。

     

    Abstract: ObjectiveTo build a decision-making system for prevention and treatment of hemorrhagic fever with renal syndrome(HFRS)using spatial information technology and information visualization technology.MethodsUnder the support of Windows XP system,ArcGIS Engine 9.2 and Visual Basic 6.0 were used to develop modules for a visualization system,which compiled geographic database,attribute database,and knowledge database with each other closely by Activex Data Object.This visualization system,with geographic information system(GIS)as the core of information,can transform HFRS-related information into knowledge which is important for decision makers.ResultsThe decision-making system for the prevetion and treatment of HFRS,which could comprehensively integrate HFRS monitoring data,animal host data and related geographical environment data and provide tools for field epidemiology investigation,data management and analysis, differential diagnosis,animal host identification,mapping and data export functionality for facilitating multi-departmental data sharing,was established.Conclusioncombining the geospatial data with the diversity of epidemiological data and combining the traditional GIS with multi-information visualization technologies could lead to effective application of spatial information technology in the decision-making of disease prevention and treatment.

     

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